Clear-Field · MCP GitHub Login Automation Server MCP

WHAT IT DOES

What Clear-Field does on MCP GitHub Login Automation Server

AI agents invoke Clear-Field to trigger actions in MCP GitHub Login Automation Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why Clear-Field needs a policy

Clearing a field is a browser action with side effects on the current browser session state. It is part of a browser automation workflow (alongside fill, click, navigate tools) used for GitHub login automation. While it doesn't directly destroy persistent data, it modifies live UI state in an automated context, making it an Execute-category action.

From the tool's definition 'Clear the content of a specific input field using XPath' — this is a browser automation action that interacts with live browser UI state

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

Clear-Field Rate-limited

Clear-Field stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "Clear-Field": {
      "limits": [
        {
          "counter": "clear-field_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP GitHub Login Automation Server, so you can run agents against it safely.

FAQ

Questions about Clear-Field

What does the Clear-Field tool do? +

Clear the content of a specific input field using XPath. It is categorised as a Execute tool in the MCP GitHub Login Automation Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on Clear-Field? +

Register the MCP GitHub Login Automation Server MCP server in PolicyLayer and add a rule for Clear-Field: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP GitHub Login Automation Server. Nothing to install.

What risk level is Clear-Field? +

Clear-Field is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit Clear-Field? +

Yes. Add a rate_limit block to the Clear-Field rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block Clear-Field completely? +

Set action: deny in the PolicyLayer policy for Clear-Field. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides Clear-Field? +

Clear-Field is provided by the MCP GitHub Login Automation Server MCP server (nikhil-kandekar/mcp-server-demo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.